Jetten M, Peters C A, Visser A, Grootenhuis P D, van Nispen J W, Ottenheijm H C
N.V. Organon, Oss, The Netherlands.
Bioorg Med Chem. 1995 Aug;3(8):1099-114. doi: 10.1016/0968-0896(95)00102-m.
In a study to combine the transition state analogue concept with the principle of catalytic site spanning, a series of peptide-derived transition state analogue (TSA) inhibitors of thrombin has been synthesized and tested. In the sequence H-D-Phe-Pro-Arg-Gly-OH (2) the Arg-Gly amide bond has been replaced by three classes of transition state analogues, being the ketomethylene, the hydroxyethylene and the hydroxymethylene amide bond replacements. Compound 12a, in which the amide bond has been replaced by the ketomethylene group, was found to be the most potent thrombin inhibitor of the series studied. Subsequently, penta- and hexapeptide sequences with good affinity for thrombin were developed, i.e. H-D-Phe-Pro-Arg-Gly-Phe-OH (16) and H-D-Phe-Pro-Arg-Gly-Phe-Lys-OH (26). In these sequences the Arg-Gly amide bond was then replaced by the ketomethylene group. The resulting compounds 43a and 47a, respectively, were evaluated in vitro as inhibitors of thrombin and factor Xa. Compound 47a was found to be the most potent thrombin inhibitor of the series studied (Ki = 29 nM). The combination of the transition state analogue concept and the principle of peptide elongation (tetrapeptide-->hexapeptide) yields thrombin inhibitors of high potency and selectivity. The effects of these two alterations reinforce each other indicating a synergistic effect. This might be rationalized by entropy factors.
在一项将过渡态类似物概念与催化位点跨越原理相结合的研究中,已合成并测试了一系列肽衍生的凝血酶过渡态类似物(TSA)抑制剂。在序列H-D-苯丙氨酸-脯氨酸-精氨酸-甘氨酸-OH(2)中,精氨酸-甘氨酸酰胺键已被三类过渡态类似物取代,即酮亚甲基、羟基亚乙基和羟基亚甲基酰胺键取代物。发现化合物12a(其中酰胺键已被酮亚甲基基团取代)是所研究系列中最有效的凝血酶抑制剂。随后,开发了对凝血酶具有良好亲和力的五肽和六肽序列,即H-D-苯丙氨酸-脯氨酸-精氨酸-甘氨酸-苯丙氨酸-OH(16)和H-D-苯丙氨酸-脯氨酸-精氨酸-甘氨酸-苯丙氨酸-赖氨酸-OH(26)。在这些序列中,精氨酸-甘氨酸酰胺键随后被酮亚甲基基团取代。分别将所得化合物43a和47a作为凝血酶和因子Xa的抑制剂进行体外评估。发现化合物47a是所研究系列中最有效的凝血酶抑制剂(Ki = 29 nM)。过渡态类似物概念与肽延伸原理(四肽→六肽)的结合产生了高效和高选择性的凝血酶抑制剂。这两种改变的效果相互增强,表明存在协同效应。这可以通过熵因素来解释。